Knowledge Hut

DECEMBER 21, 2023

For a data engineer career, you must have knowledge of data storage and processing technologies like Hadoop, Spark, and NoSQL databases. Key education and technical skills include: A degree in computer science, information technology, or a related field Expert in programming languages Python, Java, and SQL.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

Knowledge Hut

MARCH 20, 2024

Average Salary: $126,245 Required skills: Familiarity with Linux-based infrastructure Exceptional command of Java, Perl, Python, and Ruby Setting up and maintaining databases like MySQL and Mongo Roles and responsibilities: Simplifies the procedures used in software development and deployment.

Software Engineer 52

Software Engineer Software Engineering Engineering Java 52

ProjectPro

AUGUST 31, 2018

Research firm Gartner published a document stating that Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, and IBM Cloud are innovative tech giants that provide highly cost-competitive alternatives to conventional on-premises hosting infrastructures. Azure or AWS - Which is better?

AWS 45

AWS Cloud Amazon Web Services Cloud Computing 45

Knowledge Hut

DECEMBER 5, 2023

Interactive Learning Platforms: Utilize interactive platforms like Codecademy for programming, Cisco's Networking Academy for networking, or AWS Training for cloud computing. Cloud Computing: Familiarity with cloud platforms like AWS, Azure, or Google Cloud can be advantageous.

Systems 52

Systems Engineering Recruitment Electronics 52

ProjectPro

JANUARY 19, 2022

Data Engineering Requirements Data Engineer Learning Path: Self-Taught Learn Data Engineering through Practical Projects Azure Data Engineer Vs AWS Data Engineer Vs GCP Data Engineer FAQs on Data Engineer Job Role How long does it take to become a data engineer? Experience with using cloud services providing platforms like AWS/GCP/Azure.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

SEPTEMBER 6, 2023

Back when I studied Computer Science in the early 2000s, databases like MS Access and Oracle ruled. The rise of big data and NoSQL changed the game. Oracle Certified Professional, MySQL 8.0 It is ideal for candidates who want to gain knowledge in MySQL database architecture and skills to install and configure MySQL databases.

Database 52

Database Certification MongoDB MySQL 52

Knowledge Hut

JUNE 16, 2023

The most popular databases for which data analysts need to be proficient are SQL and NoSQL databases. Data modeling and database management: Data analysts must be familiar with DBMS like MySQL, Oracle, and PostgreSQL as well as data modeling software like ERwin and Visio.

Programming Language 52

Programming Language Cloud Computing Data Preparation Data Science 52

ProjectPro

JANUARY 31, 2023

Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. Map Reduce programs in cloud computing are parallel, making them ideal for executing large-scale data processing across multiple machines in a cluster. NoSQL, for example, may not be appropriate for message queues.

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

AUGUST 9, 2018

Land your dream job with these AWS interview questions and answers suitable for multiple AWS Cloud computing roles starting from beginner to advanced levels. “I would like to become an AWS Solution Architect. Differentiate between on-demand instances and spot instances.

AWS 40

AWS Amazon Web Services Cloud Computing Database 40

Knowledge Hut

MARCH 27, 2024

Easy to implement with MySQL, JSON, and highly flexible. Configure Azure, AWS, and Google Cloud services simultaneously. As a result, cloud computing costs are also reduced by 50%. It can be installed on a bunch of disks or a JBOD of commodity hardware. Features: Users can choose the language they wish to run in.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Databand.ai

DECEMBER 13, 2022

He also has more than 10 years of experience in big data, being among the few data engineers to work on Hadoop Big Data Analytics prior to the adoption of public cloud providers like AWS, Azure, and Google Cloud Platform. He is also an AWS Certified Solutions Architect and AWS Certified Big Data expert.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Knowledge Hut

SEPTEMBER 6, 2023

Cloud Computing : Knowledge of cloud platforms like AWS, Azure, or Google Cloud is essential as these are used by many organizations to deploy their big data solutions. AWS Certified Data Analytics - Specialty exam (DAS-C01) Introduction : AWS Certified Data Analytics – Specialty is for experienced individuals.

Big Data 52

Big Data Certification Hadoop Scala 52

Knowledge Hut

MARCH 19, 2024

I am also experienced in big data technologies with Data Science courses in Hadoop, Spark, and NoSQL databases. Track record of reducing costs and improving operational efficiency through the use of innovative cloud technologies. My skills include machine learning, statistics, data visualization, and predictive modeling.

Finance 52

Finance Certification Utilities Business Intelligence 52

ProjectPro

JULY 27, 2021

Top 100+ Data Engineer Interview Questions and Answers The following sections consist of the top 100+ data engineer interview questions divided based on big data fundamentals, big data tools/technologies, and big data cloud computing platforms. E.g. PostgreSQL, MySQL, Oracle, Microsoft SQL Server. Hadoop is highly scalable.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

NOVEMBER 14, 2015

With Big Data came a need for programming languages and platforms that could provide fast computing and processing capabilities. Tools/Tech stack used: The tools and technologies used for such page ranking using Apache Hadoop are Linux OS, MySQL, and MapReduce. It is also very easy to test and troubleshoot with Spark at each step.

Hadoop 52

Hadoop Project Big Data Healthcare 52